Description Usage Arguments Value See Also Examples
Create a Categorical distribution
1 | Categorical(outcomes, p = NULL)
|
outcomes |
A vector specifying the elements in the sample space. Can be numeric, factor, character, or logical. |
p |
A vector of success probabilities for each outcome.
Each element of |
A Categorical
object.
Other discrete distributions:
Bernoulli()
,
Binomial()
,
Geometric()
,
HyperGeometric()
,
Multinomial()
,
NegativeBinomial()
,
Poisson()
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | set.seed(27)
X <- Categorical(1:3, p = c(0.4, 0.1, 0.5))
X
Y <- Categorical(LETTERS[1:4])
Y
random(X, 10)
random(Y, 10)
pdf(X, 1)
log_pdf(X, 1)
cdf(X, 1)
quantile(X, 0.5)
# cdfs are only defined for numeric sample spaces. this errors!
cdf(Y, "a")
# same for quantiles. this also errors!
quantile(Y, 0.7)
|
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